Stray dog

Stray dog — CS2 Stats

CC76561198168665263[U:1:208399535]Steam profile ↗✓ No bans

3,317Tracked matches59%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
FaceitLevel 10 · 2,801 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,801 → 2,801
+1Tracked matches · now 3,317
0.0ppWin rate · 58.6% → 58.6%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 71 days played since 25 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,877 -3,272 25 Oct11 Apr · 7 days played
20,58024,153peak 24,15325 Oct11 Apr
Faceit ELO: 2,801 +0 2 Sept16 Sept · 2 observations
2,8012,801peak 2,8012 Sept16 Sept
24,153Peak Premier in tracked matches
2,801Highest Faceit ELO seen on CSDB
71Days played since 2025-07-25

Faceit ELO

  • At peak — 2,801
  • Next: 3,000 ELO at 3,000 199 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-02
  • Level 10 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGStray dogFACEITLevel 10 · 2,801 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,801csdb.gg/stats

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Performance scores

Aim69
Positioning67
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateWWWWWWLLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.9pp headshot accuracy · −71ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 50 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 604ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 611ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 646ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim6.9
Utility6.1
Positioning6.7
Opening Duels6.5
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning6.7
Utility6.1
Mechanics7.5
Opening Duels5.1
Win Impact7.9

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time677ms+28ms
first ⅓ avg 649ms → last ⅓ avg 677ms
Headshot accuracy20.6%−1.2%
first ⅓ avg 21.8% → last ⅓ avg 20.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–0 · nuke, 26 Aug
44%Best headshot accuracy · 13–0 · nuke, 26 Aug
391msFastest reaction time · 5–13 · ancient, 24 Aug
13–0Biggest win · nuke, 26 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
W6Current streak
126In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB32171553%0.01
dust2S1611569%-0.00
nukeC156940%0.00
infernoB115645%0.02
ancientA116555%0.02
cacheS75271%0.01
anubisS54180%0.03
train2020%-0.04
alpine110100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,270Matches
60%Win rate
1.09Avg K/D
80.2ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
25Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage55162%1.1516.7
Dust232764%1.0915.9
Nuke30163%1.1316.1
Inferno16651%1.1916.7
Anubis15753%1.2117.8
Ancient5448%1.1917.9
Train3554%1.0416.1
Overpass1850%1.2119.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.8%Headshot accuracy
34.5%Accuracy (enemy spotted)
36.0%Spray accuracy
83.8%Counter-strafing
8.9°Preaim
688msReaction time
38.2%T opening success
62.7%CT opening success
0.61Enemies flashed / flash
10.3%Flash assists
12.50HE damage / grenade
10.33Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.2442% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–70.0016%6 Sept
cache16–14-0.027%31 Aug
nuke16–13-0.0315%26 Aug
cache13–90.0714%22 Aug
inferno12–4-0.0243%22 Aug
mirage13–70.0225%19 Aug
dust23–13-0.0328%17 Aug
cache3–13-0.0321%10 Aug
mirage5–13-0.0129%3 Jul
inferno9–130.0217%26 Jun
nuke13–40.0215%28 May
cache13–7-0.0713%13 May
cache9–13-0.0310%13 May
inferno7–130.0528%12 May
cache13–50.0923%30 Apr
cache13–100.0822%30 Apr
nuke8–13-0.0224%26 Apr
dust22–13-0.0425%26 Apr
mirage13–30.0611%19 Apr
mirage9–13-0.0126%11 Apr
dust213–90.0520%11 Apr
inferno16–120.1224%9 Apr
mirage13–5-0.0025%6 Apr
nuke13–80.0325%3 Apr
dust213–8-0.0135%3 Apr
dust210–13-0.0418%29 Mar
mirage13–16-0.0523%22 Mar
ancient15–15-0.0612%22 Mar
mirage11–13-0.0123%22 Mar
anubis13–60.0627%19 Mar
ancient13–110.048%19 Mar
mirage13–11-0.039%17 Mar
mirage5–130.0220%7 Mar
mirage10–13-0.0323%6 Mar
anubis13–100.0220%24 Feb
dust213–90.0126%12 Feb
dust213–7-0.0421%12 Feb
inferno7–13-0.0812%11 Feb
nuke3–13-0.084%11 Feb
nuke11–130.0126%10 Feb
ancient10–13-0.069%7 Feb
mirage19–220.0319%7 Feb
nuke13–110.0316%5 Feb
nuke13–60.0015%30 Jan
ancient8–13-0.0116%30 Jan
alpine13–90.0714%22 Jan
anubis13–110.0516%22 Jan
train10–13-0.0726%3 Jan
inferno13–10.0729%2 Jan
mirage13–10-0.0418%2 Jan
mirage13–100.0621%21 Dec
ancient16–14-0.0118%19 Dec
nuke11–13-0.0421%7 Dec
dust213–70.0040%23 Nov
nuke8–13-0.0212%17 Nov
train8–13-0.0222%15 Nov
inferno3–13-0.0524%14 Nov
inferno19–170.0521%13 Nov
mirage13–110.0115%13 Nov
nuke2–13-0.0713%11 Nov
mirage9–13-0.0324%7 Nov
mirage7–13-0.0528%31 Oct
mirage9–130.0111%27 Oct
dust214–160.0430%26 Oct
nuke12–16-0.0027%26 Oct
mirage13–100.0527%25 Oct
mirage13–100.0044%25 Oct
dust213–110.0016%25 Oct
nuke9–13-0.0018%23 Oct
mirage19–17-0.0216%29 Sept
nuke9–130.0330%20 Sept
mirage13–60.0121%15 Sept
ancient4–13-0.0024%12 Sept
mirage11–130.0223%12 Sept
mirage7–130.0128%10 Sept
ancient13–90.0017%6 Sept
mirage8–13-0.0415%6 Sept
inferno7–13-0.0222%6 Sept
mirage13–11-0.0126%5 Sept
mirage13–20.0620%5 Sept
dust213–5-0.0633%4 Sept
ancient16–130.1015%28 Aug
anubis13–70.0818%28 Aug
mirage16–14-0.0111%26 Aug
nuke13–00.1544%26 Aug
mirage13–30.0730%26 Aug
mirage13–40.0315%25 Aug
inferno5–13-0.0528%24 Aug
ancient5–130.0423%24 Aug
ancient13–70.1013%23 Aug
anubis5–13-0.0716%22 Aug
inferno13–60.1328%21 Aug
dust213–100.0030%16 Aug
dust213–70.0410%15 Aug
dust29–130.0519%14 Aug
mirage7–130.0737%14 Aug
ancient13–50.0412%12 Aug
mirage13–60.0421%10 Aug
dust213–7-0.0315%10 Aug
mirage11–13-0.0125%25 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →